Tarumanagara International Conference on the Applications of Technology and Engineering | |
Real time face detection using haar-like feature method and local binary pattern method | |
工业技术(总论) | |
Junaidy, D.^1 ; Wulandari, M.^1 ; Tanudjaja, H.^2 | |
Electrical Engineering Department, Faculty of Engineering, Universitas Tarumanagara, Jakarta, Indonesia^1 | |
Electrical Engineering Department, Faculty of Engineering Universitas Katolik Indonesia Atma Jaya, Jakarta, Indonesia^2 | |
关键词: Engineering department; Face identification; Haar-like features; Local binary patterns; Real-time face detection; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/508/1/012076/pdf DOI : 10.1088/1757-899X/508/1/012076 |
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学科分类:工业工程学 | |
来源: IOP | |
【 摘 要 】
Face detection is one of the important roles in face identification. There are some difficulty factors in the process. Therefore, some methods are developed. This study aims to compare Haar-Like Feature method and Local Binary Pattern (LBP) method for face detection. Samples are 25 people in the Electric Engineering Department. Based on the result, Haar-Like Feature method is more accurate than LBP method. Haar-Like method can detect 20 faces from 25 faces with success rate of 80% while LBP can detect 14 faces from 25 faces with success rate of 56%. From this research, it is taken that both methods are having in trouble detecting face from someone that use glasses, have dark skin, or having facial hair.
【 预 览 】
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Real time face detection using haar-like feature method and local binary pattern method | 588KB | download |